Clinical trials

A multi-center, prospective, randomized, double-blind, active-controlled, no-inferiority clinical trial conducted across 5 tertiary medical centers in China. The objective of this RCT is to evaluate the sedative efficacy and safety profile of remimazolam besylate compared with dexmedetomidine in patients requiring mechanical ventilation following non-cardiac surgery. The study hypothesized that remimazolam besylate is non-inferior to dexmedetomidine regarding the primary efficacy outcome.

This multicenter, prospective, observational diagnostic accuracy study enrolls patients undergoing thrombectomy with intraoperative cerebral autoregulation monitoring and follows them up at predefined time points up to 90 days post-enrollment. The study aims to determine whether impaired cerebral autoregulation during thrombectomy can serve as an ultra-early biomarker for predicting futile recanalization in patients with acute ischemic stroke.

"Cerebral Tinnitus," also known as "cranial tinnitus," refers to the patient-reported perception of intracranial sounds. It often presents as "Cerebral Tinnitus Syndrome," which includes symptoms such as tinnitus with hearing loss, headaches, a heavy head sensation, blurred vision, neck and shoulder discomfort, sleep disturbances, anxiety, and depression. Due to limited awareness of cerebral tinnitus, patients frequently seek treatment across multiple facilities without success, severely impacting their and their families' lives and work. Xunming Ji and colleagues have pointed out that cerebral tinnitus results from stenosis of the cerebral or internal jugular veins (IJVS), which impairs cerebral venous outflow and the clearance of metabolic "waste," leading to chronic metabolic damage to brain cells. Currently, studies on the diagnosis and treatment of IJVS-induced cerebral tinnitus, both domestically and internationally, are primarily case reports, lacking systematic evaluation, diagnostic, and treatment standards, which significantly impacts patient outcomes. Our project team is the first to establish evaluation criteria, diagnostic standards, surgical indications, and surgical standards for "Cerebral Tinnitus Syndrome." In preliminary work, we performed internal jugular vein (IJV) decompression on 32 cerebral tinnitus patients, resulting in an IJV morphological improvement rate of 84.3%, a blood flow improvement rate of 75.0%, and a cerebral tinnitus syndrome improvement rate of 62.5%. To date, we have completed 88 IJV decompression surgeries, making ours the largest clinical center for such cases worldwide. We continue to refine these standards, notably introducing new intraoperative standards for IJV "release" and "high perfusion,". To validate and further study these standards, this project plans to perform IJV decompression surgery on 107 cerebral tinnitus patients affected by IJVS. We aim to establish a cerebral tinnitus database and develop a cerebral tinnitus evaluation scale to standardize evaluation criteria, diagnostic standards, surgical indications, and surgical standards, ultimately advancing clinical diagnosis and treatment of Cerebral Tinnitus Syndrome

Diabetes is a chronic metabolic disease that is widely prevalent globally, with its incidence rate continuously increasing, posing significant challenges to patient health and public health systems. In China, the number of diabetes patients ranks first in the world, with an adult prevalence rate as high as 12.8%. The core of diabetes management is blood glucose control. However, traditional finger-prick blood testing methods are inconvenient and have low patient compliance. In recent years, non-invasive blood glucose detection technologies have become a research hotspot. Among them, optical methods, especially spectroscopy techniques, are considered to have the most application potential due to their non-invasive, convenient, and stable characteristics. Raman spectroscopy, as an important branch of spectroscopy, has advantages such as non-invasiveness and high specificity, and has been successfully applied to blood glucose detection in laboratory settings. However, its clinical application is still in the exploratory stage. Foreign research has validated its feasibility, and domestic research has also made certain progress, but overall, it is still in its infancy. This study aims to compare the consistency and accuracy of Raman spectroscopy non-invasive blood glucose detection with traditional finger-prick blood glucose detection by comparing the blood glucose values measured by the two methods at the same time point. Additionally, the study will assess the participants' satisfaction and acceptance of the two methods through questionnaires. The results of this study will provide a scientific basis for the clinical application of Raman spectroscopy technology and offer references for the promotion of non-invasive blood glucose detection technologies. This will help advance the development of non-invasive blood glucose detection technologies and improve the treatment compliance and quality of life of diabetes patients.

This is a multicenter, randomized, controlled, subject- and assessor-blinded clinical trial. The research objective is to evaluate the safety and efficacy of selective intra-arterial cooling infusion combined with endovascular therapy in the treatment of acute anterior circulation large vessel occlusion stroke. This trial aims to enroll 258 subjects. Patients assigned to the control group will receive best medical management (BMM) and endovascular therapy (EVT). Those in the selective intra-arterial cooling infusion group (IA-SCI group) will undergo selective intra-arterial cold saline infusion, in addition to BMM and EVT. Subjects will be interviewed face-to-face at randomization, 24±6 hours, 48±6 hours after randomization, 7±2 days/discharge. Telephone interviews/ face-to face interviews will be performed at 30±3 days and 90±7 days after randomization. The primary outcome is the distribution of Modified Rankin Score at 90±7days after randomization.

Ovarian tumors are a common disease that threatens women's health. They are insidious in onset, have over ten pathological types, and exhibit diverse biological behaviors, making accurate diagnosis a key factor in clinical decision-making and improving prognosis. Introducing AI technology to establish an auxiliary diagnosis system composed of multi-dimensional clinical data, including medical imaging and tumor markers, will greatly enhance diagnosis efficiency by predicting the pathological types of common ovarian tumors. Our research group has innovatively developed an AI-based ultrasound intelligent auxiliary diagnosis software for ovarian tumors, which has been clinically validated to be effective. This project will build on this by: (1) utilizing a wealth of multi-center retrospective clinical data to combine ultrasound, MRI images, physiological, pathological, and laboratory data to form the first multi-modal ovarian tumor public dataset supporting AI tasks; (2) using convolutional neural network technology to realize multi-modal image multi-classification intelligent recognition on this dataset based on surgical pathology as the standard, and then fuse features at the level of clinical data with the intelligent recognition model to train and validate an auxiliary diagnosis model for predicting the top ten pathological types of ovarian tumors; (3) applying privacy computing and federated learning methods to conduct multi-center, prospective validation and optimization of the above model, ultimately forming a clinical auxiliary diagnosis system that can predict the pathological types of most ovarian tumors and apply it to clinical practice.